Certificate of
Data Analytics & Deep Learning Specialist
Concepts, Applications, and Strategies in Education
This course provides educators and school administrators with the knowledge and tools to leverage data analytics and machine learning in education. Participants will learn how to collect, analyze, and interpret data using traditional machine learning and deep learning models to enhance teaching practices, personalize student learning, improve curriculum design, and support data-driven decision-making. The course combines theoretical knowledge with practical applications in Excel, MS BI and MS Azure, ensuring participants gain hands-on experience with data analytics tools and techniques applicable to the educational environment.
Methodology
This program incorporates an engaging mix of comprehensive lectures, thorough assessments, tangible practical insights, examples, and detailed case studies to equip participants with a robust mastery to apply machine learning and Data Analytics to enhance teaching and learning.
What You Will Learn
Data types, cleaning and preparation using Excel, Power BI and Azure. Descriptive statistics and exploratory data analysis.
- Introduction to machine learning and Deep Learning: supervised vs. unsupervised learning.
- Applying machine learning and deep learning to predict student performance and drop-out rates, model student success and retention, identify factors that influence student outcomes, and group students based on performance or engagement levels.
- Skills to personalize learning, improve instructional practices, and support student success through data-driven insights.
- Acquire competency in making informed decisions for school improvement and resource optimization.
- Awareness of ethical and legal considerations related to data use in education.
- Evaluating
models: Accuracy, precision, recall, and other performance metrics.
- Develop strategies for integrating deep learning and data analytics into educational practices responsibly and ethically.
Duration and Mode of Delivery
The workshop extends over a period of 8 days, featuring 3 hours each day of intensive, interactive learning sessions. It is designed to be accessible and convenient for all by offering both online and in-person attendance options. Participants will be recognized with 24 PDUs (Professional Development Units) for their commitment to professional growth upon completion of the program.
Who Should Attend
The program is suitable for the following professionals, educators, and individuals interested in harnessing the power of AI and Data Analytics within the educational setting:
Teachers: Looking to enhance their teaching practices through data-driven insights.
- Educators and Educational Technology Specialists.
- QA&IE Officers, Institutional Research Staff, and School Administrators interested in implementing educational quality and decision-making.
- Curriculum Designers: Aiming to use data to inform curriculum development.
- Education
Technology Specialists:
Focused on integrating data analytics tools in schools.
- Support
Staff:
Involved in data collection, management, and analysis.
- Anyone Interested in applying Machine Larning & Data Analytics in education.